Job Overview
Location
Remote Saudi Arabia
Job Type
Full-time
Category
Data Science
Date Posted
May 27, 2026
Full Job Description
đź“‹ Description
- • Lead end-to-end delivery of high-stakes enterprise engagements focused on Agentic AI and Generative AI solutions, managing scope, timeline, budget, and execution.
- • Serve as the primary translation layer between client business stakeholders (including C-suite) and DataRobot’s technical teams (AI Engineers, Data Scientists), ensuring business goals are accurately converted into technical requirements.
- • Identify and mitigate technical risks early in AI deployments, including those related to data infrastructure, API integrations, and agent logic, to prevent critical path delays.
- • Build and maintain trusted relationships with client sponsors, managing expectations, handling escalations, and navigating complex organizational dynamics to ensure project success.
- • Drive adoption of Agentic AI workflows by advising clients on operational changes needed to integrate AI agents into daily business processes.
- • Run agile delivery cycles including sprints, daily stand-ups, and sprint reviews to maintain team velocity and clear directional alignment.
- • Define and measure KPIs to align technical outputs with strategic business objectives and demonstrate measurable ROI from AI initiatives.
- • Apply technical fluency in system architectures, cloud infrastructure, and software development lifecycle (SDLC) to guide engineering teams and assess feasibility of client solutions.
- • Engage in technical discussions on Generative AI and Agentic systems, including non-deterministic behavior, latency trade-offs, MCP servers, and RAG architectures.
- • Maintain disciplined project governance with rigorous documentation, client communication protocols, and delivery standards.
- • Operate with a consulting mindset, drawing on experience in management or technology consulting environments to deliver client-centric AI solutions.
- • Collaborate cross-functionally across sales, product, and engineering to ensure seamless handoffs and alignment on customer outcomes.
- • Ensure all engagements adhere to DataRobot’s Operating Principles, including Wow Our Customers, Be Rigorous, and Deliver Results.
🎯 Requirements
- • 7+ years of professional experience delivering complex software or data products for enterprise clients
- • Hybrid background in technical roles (e.g., Software Engineer, Solution Architect) with progression into client-facing leadership (e.g., Engagement Manager, Technical Program Manager)
- • Experience managing data science or machine learning projects
- • Technical undergraduate degree in Computer Science, Engineering, or similar; MBA preferred
- • Experience working within a management consulting or technology consulting environment (Big 4 or boutique)
- • Familiarity with GenAI and Agentic systems (e.g., non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures)
🏖️ Benefits
- • Medical, Dental & Vision Insurance
- • Flexible Time Off Program
- • Paid Holidays
- • Paid Parental Leave
- • Global Employee Assistance Program (EAP)
Skills & Technologies
About DataRobot, Inc.
DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.
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